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Publication AI

The ADNI publication AI is a multi-lingual system capable of answering questions in multiple languages. Its responses are primarily based on information from ADNI publications.

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*This AI can be a helpful starting point, but it’s not perfect. The information provided by this Retrieval-Augmented Generation (RAG) system may be incomplete or limited in scope due to embargo restrictions on certain publications. These embargoes prevent access to data, research, or content that has not yet been officially released to the public or approved for distribution. As a result, the system’s knowledge base may lack the most recent updates, studies, or materials related to specific topics. Please double‑check any references, facts, or details before relying on them. The creators and operators of this AI system are not liable for any consequences, decisions, or actions taken based on its output. When in doubt, it’s always best to confirm things with authoritative sources.

Publication Search

ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.

6006 Total Publications

Year	Title	Author	Journal
2015	A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application	Ge, T., Nichols, T. E., Ghosh, D., Mormino, E. C., Smoller, J. W., & Sabuncu, M. R.	Journal Neuroimage;
2015	Altered Gray Matter Structural Covariance Networks in Early Stages of Alzheimer’s Disease	Montembeault, M., Rouleau, I., Provost, J.-S., & Brambati, S. M.	Journal Cerebral Cortex;
2015	Effect of EPHA1 Genetic Variation on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer’s Disease Cohorts	Wang, H.-F., Tan, L., Hao, X.-K., Jiang, T., Tan, M.-S., Liu, Y., … Yu, J.-T.	Journal Journal of Alzheimer's Disease;
2015	The role of visualization and 3-D printing in biological data mining	Weiss TL1, Zieselman A1, Hill DP1, Diamond SG2, Shen L3, Saykin AJ3, Moore JH4; Alzheimer’s Disease Neuroimaging Initiative.	Journal BioData Min;
2015	Suspected non-AD pathology in mild cognitive impairment.	Wisse LEM, Butala N, Das SR, et al.	Journal Neurobiology of Aging;
2015	Leveraging existing data sets to generate new insights into Alzheimer's disease biology in specific patient subsets	Fowler, KD, Funt, JM, Artyomov, MN, Zeskind, B, Kolitz, SE and Towfic, F	Journal Scientific Reports;
2015	Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment	Goryawala, M, Zhou, Q, Barker, W, Loewenstein, DA, Duara, R and Adjouadi, A	Journal Computational Intelligence and Neuroscience;
2015	Anatomical Correlates of the Neuropsychiatric Symptoms in Alzheimer's Disease	Hu, XC, Meiberth, D, Newport, B, Jessen, F and Alzheimer's Dis Neuroimaging, I	Journal Current Alzheimer Research;
2015	Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data	Huynh, T, Gao, Y, Kang, J, Wang, L, Zhang, P and Shen, D	Journal Mach Learn Med Imaging;
2015	Bayesian segmentation of brainstem structures in MRI	Iglesias, JE, Van Leemput, K, Bhatt, P, Casillas, C, Dutt, S, Schuff, N, Truran-Sacrey, D, Boxer, A, Fischl, B and Alzheimer's Dis Neuroimaging, I	Journal Neuroimage;

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